White Paper

The Agentic Voice AI Model: From conversations to action

Voice AI is moving beyond basic conversational interfaces toward systems that can interpret requests, coordinate workflows, and take action. For organizations managing high-volume interactions, this shift creates a new opportunity to improve execution across customer and employee experiences. 

 The Agentic Voice AI Model explains how voice AI agents differ from traditional conversational AI and why they require new platform capabilities. The asset outlines the gap between AI engagement and AI execution, introduces a framework for agentic voice AI, and shows how the model can support real-time reasoning, governed workflows, and industry use cases. 

• How voice AI agents move conversations toward operational execution
• Why traditional conversational AI falls short in complex workflows
• What capabilities organizations need to deploy agentic voice AI successfully
• How industries can apply voice AI to reduce handoffs and improve interaction-heavy processes

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